Makita DUV 320 Z Akku Vertikutierer 18 V 32 cm 30 l Brushless Solo - ohne Akku, ohne Ladegerät - OVP Beschädigt
SKU: 88419431573

Makita DUV 320 Z Akku Vertikutierer 18 V 32 cm 30 l Brushless Solo - ohne Akku, ohne Ladegerät - OVP Beschädigt

$93.90 $104.33
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Description

Makita DUV 320 Z Akku Vertikutierer 18 V 32 cm 30 l Brushless Solo - ohne Akku, ohne Ladegerät - OVP BeschädigtZustand: OVP Beschdigt Neuwertig Vollfunktionsfhig Weist Kratzer und Verschmutzungen auf Sofort lieferbar Lieferumfang: Siehe Bilder 1x Makita DUV 320 Vertikutierer 1x Grasfangkorb 30 l ( YA00001377 ) 1x Vertikutierwalze ( ( YA00001316 ) ohne Akku, ohne Ladegert Produktbeschreibung: Makita DUV 320 ist ein kraftvoller Akku Vertikutierer fr die professionelle Rasenpflege. Mit einer Arbeitsbreite von 32 cm und einem 30 l Grasfangkorb eignet er sich ideal

Zustand:

- OVP Beschädigt 
- Neuwertig
- Vollfunktionsfähig 
- Weist Kratzer und Verschmutzungen auf
- Sofort lieferbar

Lieferumfang:

- Siehe Bilder
- 1x Makita DUV 320 Vertikutierer
- 1x Grasfangkorb 30 l ( YA00001377 )
- 1x Vertikutierwalze ( ( YA00001316 )
- ohne Akku, ohne Ladegerät

Produktbeschreibung:

Makita DUV 320 ist ein kraftvoller Akku Vertikutierer für die professionelle Rasenpflege. Mit einer Arbeitsbreite von 32 cm und einem 30-l-Grasfangkorb eignet er sich ideal zur effizienten Belüftung und Pflege von Rasenflächen. Die Arbeitstiefe lässt sich in mehreren Stufen einstellen, sodass Moos und Filz gezielt entfernt werden können. Große Räder mit 160 mm Durchmesser sorgen für guten Halt auch auf rutschigem Untergrund. Dank Akku-Antrieb, elektronischer Bremse und robuster Bauweise ist der Vertikutierer besonders komfortabel, wartungsarm und flexibel einsetzbar.

Technische Daten:

Hersteller: Makita
Herstellerbezeichnung: DUV 320 Z
Akkusystem LXT: Ja
Akkuspannung: 18 V
Akkutyp: Li-ion
Arbeitsbreite: 320 mm
Leerlaufdrehzahl: 3300 min⁻¹
Durchmesser des Hinterrades: 16 cm
Durchmesser des Vorderrades: 16 cm
Arbeitstiefe: -8 - +4 mm
Grasfangkorb: 30 L
Schallleistungspegel (LWA): 89 dB(A)
Schalldruckpegel (LpA): 75 dB(A)
Produktgewicht: 9,7 kg
K-Wert Geräusch: 3 dB(A)
Gewicht inkl. Akku: 10,1 - 10,4 kg
Produktabmessung (L x B x H): 1035 x 565 x 995 mm
Maße gefaltet (LxBxH): 610 x 565 x 430 mm
Vibration: ≤ 2,5 m/s²
K-Wert Vibration: 1,5 m/s²
Bürstenloser Motor: Ja

Bei gewerblicher Nutzung beachten Sie bitte die Bauvorschriften!

Shipping Notes
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SKU: 88419431573

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4.7 ★★★★★
Based on 326 reviews
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Product Reviews
E
eyal Fishman
Phoenix, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Natrona Heights, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Bozeman, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Boise, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Louisville, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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